Publications associées à Image (mathématiques)

BLOOM: Bimodal Lattice One-out-of-Many Proofs and Applications

We give a construction of an efficient one-out-of-many proof system, in which a prover shows that he knows the pre-image for one element in a set, based on the hardness of lattice problems. The construction employs the recent zero-knowledge framework of Ly ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

Yufan Ren, Siyuan Huang

This paper proposes a representational model for image pairs such as consecutive video frames that are related by local pixel displacements, in the hope that the model may shed light on motion perception in primary visual cortex (V1). The model couples the ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022

Differentiable inverse rendering based on radiative backpropagation

Wenzel Alban Jakob, Merlin Eléazar Nimier-David

A computer-implemented inverse rendering method is provided. The method comprises: computing an adjoint image by differentiating an objective function that evaluates the quality of a rendered image, image elements of the adjoint image encoding the sensitiv ...

2021

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation

Mathieu Salzmann, Yinlin Hu, Zhigang Li

The current leading 6D object pose estimation methods rely heavily on annotated real data, which is highly costly to acquire. To overcome this, many works have proposed to introduce computer-generated synthetic data. However, bridging the gap between the s ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2021

Joint Segmentation and Path Classification of Curvilinear Structures

Pascal Fua, Agata Justyna Mosinska, Mateusz Kozinski

Detection of curvilinear structures in images has long been of interest. One of the most challenging aspects of this problem is inferring the graph representation of the curvilinear network. Most existing delineation approaches first perform binary segment ...

2020

Joint Segmentation and Path Classification of Curvilinear Structures

Pascal Fua, Agata Justyna Mosinska, Mateusz Kozinski

2019

Point and sensor estimation from images

Martin Vetterli, Adam James Scholefield, Alireza Ghasemi

System comprising at least one sensor configured to take a set of images from different viewpoints of a scene; a processor configured to identifying a point source represented in the images of a set of images; computing for each image of the set of images ...

2017

Iterative image subset processing for image reconstruction

Paul Hurley, Matthieu Martin Jean-André Simeoni, Giovanni Cherubini, Sanaz Kazemi

The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest a ...

2017

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Image (mathématiques)

BLOOM: Bimodal Lattice One-out-of-Many Proofs and Applications

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

Differentiable inverse rendering based on radiative backpropagation

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation

Joint Segmentation and Path Classification of Curvilinear Structures

Joint Segmentation and Path Classification of Curvilinear Structures

Semantic Attribute Matching Networks

Learning to See through Reflections

Point and sensor estimation from images

Iterative image subset processing for image reconstruction

Graph Chatbot

Chattez avec Graph Search

BLOOM: Bimodal Lattice One-out-of-Many Proofs and Applications

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation

Joint Segmentation and Path Classification of Curvilinear Structures

Joint Segmentation and Path Classification of Curvilinear Structures

Semantic Attribute Matching Networks

Learning to See through Reflections

Iterative image subset processing for image reconstruction

Point and sensor estimation from images

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

Differentiable inverse rendering based on radiative backpropagation